Data science lead to deliver consulting and analytical solution through big data technologies, machine learning, natural language processing, data mining and data visualization. Delivered analytics solutions across complete life-cycle of Customer Relationship Management (CRM) using functional as well as technical expertise - Functional :- (1) Acquisition - Response Modeling,Marketing Strategy Design,Campaign Design and Execution (2) Development - Cust Segmentation, Cust Experience Analytics, Cust Journey Mapping, Cross-Sell (3) Engagement - Customer Service Analytics, Multi-Channel Optimization, Channel Affinity, Customer Effort Score, Speech Analytics, Text Mining (4) Retention - Churn Prediction, Retention Strategy Design , Loyalty Program Design/Evaluation Technical :- (1) Big Data Ecosystem - Hadoop, Map-Reduce, HIVE, PIG, Spark Core, Spark SQL, Spark Streaming,Spark ML-Lib, No-SQL DB, HABSE, Cassendra,Phoenix, KAFKA, Flume,Storm, NIFI, Zeppaline, H2O (2) Machine Learning - KNN, Decision Tree , Neural Networks , Bayesian Analysis , Regression Trees, Random Forest , Gradient Boosting , Association Analysis (Market Basket Analysis) , Support Vector Machine , Recommender System , Collaborative Filtering , Stochastic Gradient Descent , Anomaly Detection (3) Natural Language Processing - Sentiment Analysis , Concept Extraction (Supervised and Unsupervised Keyword Extraction) , Text Classification , Text Clustering , Information Extraction , Relationship Extraction, Tokenization , Normalization , Part-of-Speech tagging , RegEx Parsing , TF-IDF , Document Term Matrix , Semantic Similarity, Chunking, Latent Semantics Indexing , Vector Space Model , Sequential Modeling , Topic Modeling , Lexicon Based Analysis , Lexical chaining (4) Tools - PYTHON 2.7 (Pandas , NLTK , Scikit-learn , Numpy) , R 3.1.2 , SAS 9.2 , Hive 1.1.0, Pig 0.11.0, Spark 1.6 , TABLEAU , Web Trends , Google Analytics , QLIKVIEW , VOCI ( Speech Analytics), SQL , • Advanced VBA , EXCEL/ ACCESS